MacBook Pro (14-inch, 2024)
Geekbench AI Score
5523
Single Precision Score
9036
Half Precision Score
7090
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (HP)
|
100% |
3057
568.4 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3600
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17792
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31490
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24658
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8082
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4668
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8809
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14665
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10585
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26251
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50064
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39775
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10002
369.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6045
223.2 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5245
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5966
102.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9085
157.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9084
157.0 IPS |
